Low Risk

service_response_time

Service response time statistics — min/max/avg latency per request type.

How to control service_response_time ↓

AI agents call service_response_time to retrieve information from SharkMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool queries pre-captured packet data to extract and aggregate timing metrics. It performs passive analysis of network traffic without executing code, modifying data, or triggering external operations. The output is purely informational (latency statistics), confirming Read category. Severity is low because misuse would only expose performance metrics from captured traffic, posing minimal risk.

From the tool's definition Tool retrieves 'service response time statistics — min/max/avg latency per request type' from PCAP analysis. The verb 'statistics' and focus on read-only metrics (min/max/avg latency) indicate data retrieval with no modification or execution.

Documented attack patterns abuse exactly the kind of access service_response_time gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and SharkMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for service_response_time:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "service_response_time": {}
  }
}

service_response_time is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register SharkMCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the service_response_time tool do? +

Service response time statistics — min/max/avg latency per request type. It is categorised as a Read tool in the SharkMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on service_response_time? +

Register the Shark MCP server in PolicyLayer and add a rule for service_response_time: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches SharkMCP. Nothing to install.

What risk level is service_response_time? +

service_response_time is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit service_response_time? +

Yes. Add a rate_limit block to the service_response_time rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block service_response_time completely? +

Set action: deny in the PolicyLayer policy for service_response_time. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides service_response_time? +

service_response_time is provided by the Shark MCP server (weirdmachine64/sharkmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SharkMCP tool call.

Deterministic rules across all 30 SharkMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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30 SharkMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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